Meta ran into some spectacularly embarrassing technical issues during the live demos of its new smart glasses this week, and now we know why. Andrew Bosworth, Meta’s chief technology officer, explained in an Instagram AMA why two notable demos —…
Strike 3 Holdings is suing Meta in federal court, alleging the tech giant pirated copyrighted adult videos to train its AI models.
Amazon is a mucky mess of ads, unknown sellers, misleading sales, and specious information. Stay safe while shopping on Amazon with these tips and tricks.
In the latest episode of the Agent Factory podcast, Amit Miraj and I took a deep dive into the Gemini CLI. We were joined by the creator of the Gemini CLI, Taylor Mullen, who shared the origin story, design philosophy,…
Computer vision moved fast in 2025: new multimodal backbones, larger open datasets, and tighter model–systems integration. Practitioners need sources that publish rigorously, link code and benchmarks, and track deployment patterns—not marketing posts. This list prioritizes primary research hubs, lab blogs,…
Qwen has released Qwen3-ASR-Toolkit, an MIT-licensed Python CLI that programmatically bypasses the Qwen3-ASR-Flash API’s 3-minute/10 MB per-request limit by performing VAD-aware chunking, parallel API calls, and automatic resampling/format normalization via FFmpeg. The result is stable, hour-scale transcription pipelines with configurable…
What Do We Mean by “Physical AI”? Artificial intelligence in robotics is not just a matter of clever algorithms. Robots operate in the physical world, and their intelligence emerges from the co-design of body and brain. Physical AI describes this…
arXiv:2509.14961v1 Announce Type: new Abstract: Machine learning has revolutionized atomistic simulations and materials science, yet current approaches often depend on spherical-harmonic representations. Here we introduce the Tensor Atomic Cluster Expansion and Tensor Moment Potential, the first unified framework formulated entirely…
arXiv:2509.15197v1 Announce Type: cross Abstract: We consider the problem of recovering the true causal structure among a set of variables, generated by a linear acyclic structural equation model (SEM) with the error terms being independent and having equal variances. It…
arXiv:2505.13241v3 Announce Type: replace-cross Abstract: Physics-informed machine learning (PIML) is crucial in modern traffic flow modeling because it combines the benefits of both physics-based and data-driven approaches. In conventional PIML, physical information is typically incorporated by constructing a hybrid loss…
